Job Description

Key Responsibilities

Quality Engineering & Test Strategy

Understand business requirements, existing legacy application behavior, and the target modernized architecture.
Develop comprehensive test strategies covering functional, integration, API, end-to-end, regression, and data validation.
Identify critical business journeys and create risk-based testing approaches.
Ensure functional parity between the legacy and modernized applications.
Define traceability between business requirements, test scenarios, test cases, automation, and defects.
Work closely with product owners, business analysts, developers, architects, and DevOps teams.

Functional & End-to-End Testing

Design and execute functional test scenarios for applications built using Angular and .NET.
Validate complex end-to-end business workflows across multiple applications and integrations.
Perform system integration testing across APIs, applications, databases, third-party platforms, and downstream systems.
Design regression suites based on business criticality and change impact.
Identify opportunities for automation and continuous regression.

API & Integration Testing

Perform functional and integration testing of REST APIs and backend services.
Validate API contracts, request/response structures, business rules, authentication, error handling, and downstream integrations.
Build automated API validation suites using appropriate tools and frameworks.
Validate integration flows across AWS services and enterprise systems.

Database Migration & ETL Testing

Validate migration of data from SQL Server to PostgreSQL.
Perform source-to-target data reconciliation and transformation validation.
Validate:
Record counts and completeness
Data accuracy and integrity
Data types and schema mappings
Transformation rules
Referential integrity
Duplicate and missing records
Null handling
Stored procedures and database logic
Historical and incremental data loads
Write complex SQL queries for data validation and reconciliation.
Identify data anomalies introduced during migration or transformation.
Develop reusable automated data validation and reconciliation utilities.

AI-Led Quality Engineering

Use GenAI and AI-enabled QE tools to accelerate:
Requirement analysis
Test scenario generation
Test case creation
Test data generation
Change-impact analysis
Regression optimization
Automation development
Defect analysis and root cause identification
Apply a human-in-the-loop approach to validate AI-generated testing artifacts.
Explore opportunities for intelligent test selection and risk-based regression.
Contribute to building repeatable AI-led QE patterns and accelerators for the modernization program.

Automation & Continuous Quality

Develop and maintain UI and API automation frameworks.
Integrate automated tests into CI/CD pipelines.
Improve regression coverage and reduce manual testing dependency.
Collaborate with development teams to enable quality earlier in the SDLC.
Analyze automation failures and continuously improve framework stability.

Required Skills

Minimum 7+ years of experience in Software Testing / Quality Engineering.
Strong experience in functional, integration, regression, and end-to-end testing.
Strong understanding of modern web application architectures.
Experience testing applications built using:
Angular
.NET / .NET Core
REST APIs
Strong API testing experience using tools such as Postman, REST Assured, Karate, Playwright, or equivalent.
Strong SQL skills and experience with relational databases.
Hands-on experience in database migration, ETL testing, and source-to-target data validation.
Experience working with SQL Server and PostgreSQL.
Experience with test automation frameworks such as:
Playwright
Selenium
Cypress
Karate
Rest Assured
Understanding of CI/CD pipelines and continuous testing.
Experience working in Agile delivery models.
Strong analytical and problem-solving skills.

Preferred Skills

Experience testing applications hosted on AWS.
Understanding of AWS services such as Lambda, S3, ECS/EKS, RDS, API Gateway, CloudWatch, and related services.
Experience in legacy application modernization programs.
Experience validating application and data parity during platform migration.
Exposure to GenAI, AI-powered testing tools, or Agentic AI for Quality Engineering.
Experience with AI-assisted coding and testing tools such as GitHub Copilot or similar platforms.
Experience with observability tools such as Datadog, Splunk, or CloudWatch.
Understanding of performance, security, accessibility, and resilience testing concepts.

What We Are Looking For

We are looking for someone who can go beyond executing predefined test cases.

The ideal candidate should be able to understand the architecture and business processes, identify quality risks proactively, challenge requirements, design intelligent test coverage, leverage automation and AI, and take end-to-end ownership of quality for the modernization journey.

Responsibilities

Key Responsibilities

Quality Engineering & Test Strategy

Understand business requirements, existing legacy application behavior, and the target modernized architecture.
Develop comprehensive test strategies covering functional, integration, API, end-to-end, regression, and data validation.
Identify critical business journeys and create risk-based testing approaches.
Ensure functional parity between the legacy and modernized applications.
Define traceability between business requirements, test scenarios, test cases, automation, and defects.
Work closely with product owners, business analysts, developers, architects, and DevOps teams.

Functional & End-to-End Testing

Design and execute functional test scenarios for applications built using Angular and .NET.
Validate complex end-to-end business workflows across multiple applications and integrations.
Perform system integration testing across APIs, applications, databases, third-party platforms, and downstream systems.
Design regression suites based on business criticality and change impact.
Identify opportunities for automation and continuous regression.

API & Integration Testing

Perform functional and integration testing of REST APIs and backend services.
Validate API contracts, request/response structures, business rules, authentication, error handling, and downstream integrations.
Build automated API validation suites using appropriate tools and frameworks.
Validate integration flows across AWS services and enterprise systems.

Database Migration & ETL Testing

Validate migration of data from SQL Server to PostgreSQL.
Perform source-to-target data reconciliation and transformation validation.
Validate:
Record counts and completeness
Data accuracy and integrity
Data types and schema mappings
Transformation rules
Referential integrity
Duplicate and missing records
Null handling
Stored procedures and database logic
Historical and incremental data loads
Write complex SQL queries for data validation and reconciliation.
Identify data anomalies introduced during migration or transformation.
Develop reusable automated data validation and reconciliation utilities.

AI-Led Quality Engineering

Use GenAI and AI-enabled QE tools to accelerate:
Requirement analysis
Test scenario generation
Test case creation
Test data generation
Change-impact analysis
Regression optimization
Automation development
Defect analysis and root cause identification
Apply a human-in-the-loop approach to validate AI-generated testing artifacts.
Explore opportunities for intelligent test selection and risk-based regression.
Contribute to building repeatable AI-led QE patterns and accelerators for the modernization program.

Automation & Continuous Quality

Develop and maintain UI and API automation frameworks.
Integrate automated tests into CI/CD pipelines.
Improve regression coverage and reduce manual testing dependency.
Collaborate with development teams to enable quality earlier in the SDLC.
Analyze automation failures and continuously improve framework stability.

Qualifications

ABOUT US

At Zensar, we're experience-led everything. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we're a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Senior Quality Engineer / QE Lead AI-Led Quality Engineering